<html><head><title>Product Engineer – Spatial Data Science and Statistical Analysis - Redlands, CA</title></head>
<body><h2>Product Engineer – Spatial Data Science and Statistical Analysis - Redlands, CA</h2>
<div><div><p>Do you have a passion for finding underlying patterns and helping people make data-driven decisions? Do you want to join an awesome team that is building tools used everywhere from predictive policing to disease prevention? Become a key member of the statistical analysis development team and help us create the tools that enable organizations to make better decisions using Esri software. We’re looking for a passionate, experienced individual to help us improve and expand our capabilities in spatial statistics, machine learning, and spatial data science.</p></div>
</div><div><p>RESPONSIBILITIES</p>
<div></div><div><ul><li>Research cutting-edge methods and applications in the field of spatial and spatiotemporal statistics and spatial data science</li><li>Design, test, and document new analytical tools and the effective visualizations and outputs of those tools</li><li>Evangelize spatial data science through various venues such as user documentation, educational materials, conferences, workshops, and online content</li><li>Create and ship quality software by working effectively in an agile, highly interactive, and creative team environment</li></ul></div>
</div><div><p>REQUIREMENTS</p>
<div><ul><li>Strong background in statistical theory and application</li><li>Experience in data mining, machine learning, time-series analysis, or similar analytical disciplines</li><li>2+ years of experience with R and Python (special consideration for experience with pandas, NumPy, and SciPy and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch)</li><li>Experience with distributed computing, including frameworks such as Spark</li><li>Excellent written and verbal communication skills</li><li>Master’s or Ph.D. in geography, statistics, econometrics, computer science or related field, depending on position level</li></ul></div><div></div>
</div><div><p>RECOMMENDED QUALIFICATIONS</p>
<div></div><div><ul><li>Ability to communicate complex concepts effectively, making spatial data science accessible and even fun</li><li>Working experience in geostatistics, spatial statistics, or other statistical fields involving autocorrelated datasets</li><li>Passion for storytelling using data visualization</li><li>Familiarity with Esri GIS products</li><li>Knowledge of or experience developing models or scripts in ArcGIS</li></ul></div></div></body>
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